Rawgrowth-Consulting
Official@rawgrowth-consulting
Offers a comprehensive suite of terminal-based interfaces for distributed model training, multimodal content generation, and enterprise-grade system orchestration.
Agent Skills by Rawgrowth-Consulting
Showing 130 vetted skills indexed across 1 GitHub repositories.
parallel-cli
Execute web search, extraction, and deep research workflows via Parallel CLI.
gitnexus-explorer
Index a codebase into a knowledge graph and serve an interactive web UI.
qmd
Search local Markdown knowledge bases with hybrid BM25 and vector retrieval.
drug-discovery
Consolidates medicinal chemistry data into a drug-discovery briefing using ChEMBL, Lipinski/Veber metrics, OpenFDA, ADMET interpretation, and OpenTargets disease associations.
duckduckgo-search
Search the web via DuckDuckGo using the ddgs CLI.
scrapling
Automate web scraping with anti-bot bypass and dynamic JS rendering.
bioinformatics
Index and fetch bioinformatics skills from bioSkills and ClawBio repositories.
domain-intel
Gather passive domain intelligence using Python's standard library.
docker-management
Automate Docker container and image lifecycle management across environments.
inference-sh-cli
Orchestrate 150+ AI apps via the inference.sh CLI for image, video, and inference tasks.
sherlock
Identify public social media profiles for a username across 400+ platforms.
oss-forensics
Conduct end-to-end OSS supply chain forensic investigations across GitHub repositories.
1password
Read and inject 1Password CLI secrets into commands and templates.
fitness-nutrition
Plan workouts and track nutrition using wger, USDA FoodData Central, and offline calculators.
neuroskill-bci
Connect Rawclaw to a running NeuroSkill instance for real-time brain and body metrics.
nemo-curator
Curate multimodal LLM training data with GPU-accelerated deduplication and filtering.
huggingface-accelerate
Automate distributed PyTorch training setup with a unified API for multiple backends.
chroma
Store embeddings with metadata in a local Chroma vector database for similarity search.
simpo-training
Automate reference-free preference optimization for LLM alignment with configurable loss functions.
slime-rl-training
Automate LLM post-training with reinforcement learning using Megatron-LM and SGLang.
guidance
Enforce constrained generation with regex or grammar for JSON, XML, or code outputs.
clip
Compute image-text similarity scores for zero-shot classification and retrieval.
lambda-labs-gpu-cloud
Provision Lambda Labs GPU instances with SSH access for ML workloads.
huggingface-tokenizers
Tokenize text with Rust-backed tokenizers for NLP preprocessing workflows.
Frequently Asked Questions About Rawgrowth-Consulting
FAQPage SchemaWhat specific technical tasks are enabled by these capabilities?▼
These capabilities enable distributed model pretraining, fine-tuning with LoRA/QLoRA, multimodal inference, vector database indexing, and terminal-based management of cloud infrastructure, GitHub repositories, and local knowledge bases.
Which target personas benefit most from this registry?▼
Machine learning engineers, research scientists, and systems architects focused on high-performance computing, distributed training, and terminal-centric development environments will find these resources most effective for their technical requirements.
What are the prerequisites for running these modules?▼
Most modules require a Linux or macOS environment with a configured terminal, standard authentication tokens for services like GitHub or Hugging Face, and appropriate hardware resources such as NVIDIA GPUs for training and inference tasks.